Ziyi Shen, Yan Fang, Chengcheng Li, Xin Luo, Junling Cui, Yanchang Liu, Jingfang Hong
{"title":"基于双ABC-X理论框架的肺癌患者家庭心理弹性及其影响因素","authors":"Ziyi Shen, Yan Fang, Chengcheng Li, Xin Luo, Junling Cui, Yanchang Liu, Jingfang Hong","doi":"10.1002/cam4.70868","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>The aim of this study was to evaluate the family resilience and its psychosocial influencing factors of patients with lung cancer. Relationships between variables and pathways were also explored based on the Double ABC-X as the theoretical framework.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>A cross-sectional survey of 318 lung cancer patients was conducted in a tertiary hospital in Anhui, China. The questionnaires included a general information survey, the Chinese perceived stress scale, the Connor-Davidson Resilience Scale, the social support scale, the cognitive emotion regulation scale, the self-efficacy scale, the medical coping modes questionnaire, and the family resilience scale. Data entry was performed using EpiData3.1 software, while data processing and analysis were conducted with SPSS 26.0. The structural equation modeling was fitted and validated using AMOS 26.0 software.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Family resilience levels were found to be moderately above average. Linear regression analysis indicated payment method, employment status, time since diagnosis, confrontative coping style, Positive Cognitive Emotion Regulation (PCER), perceived stress, social support, and personal resilience as the main influencing factors, which could explain 71.1% of the variation of family resilience in individuals with lung cancer. The final model comprises nine significant pathways. Cognitive emotion regulation, self-efficacy, and social support all have direct positive effects on family resilience (<i>β</i> = 0.202, <i>β</i> = 0.272, <i>β</i> = 0.298). Personal resilience, social support, and self-efficacy significantly positively influence confrontive coping modes (<i>β</i> = 0.293, <i>β</i> = 0.175, <i>β</i> = 0.121). Individual resilience has a significant positive effect on self-efficacy, with a path coefficient of <i>β</i> = 0.377. Submissive coping modes are notably enhanced by perceived stress, as indicated by a path coefficient of <i>β</i> = 0.516, while personal resilience negatively affects submissive coping styles, as indicated by a path coefficient of <i>β</i> = −0.188.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>This study highlights the importance of psychosocial factors, such as cognitive emotion regulation, self-efficacy, and social support, in enhancing family resilience in lung cancer patients. Clinically, interventions targeting these factors might significantly improve family functioning and coping mechanisms, contributing to better patient and family outcomes during cancer treatment and care.</p>\n </section>\n </div>","PeriodicalId":139,"journal":{"name":"Cancer Medicine","volume":"14 8","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cam4.70868","citationCount":"0","resultStr":"{\"title\":\"Family Resilience and Its Influencing Factors Among Patients With Lung Cancer Based on Double ABC-X Theoretical Framework\",\"authors\":\"Ziyi Shen, Yan Fang, Chengcheng Li, Xin Luo, Junling Cui, Yanchang Liu, Jingfang Hong\",\"doi\":\"10.1002/cam4.70868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>The aim of this study was to evaluate the family resilience and its psychosocial influencing factors of patients with lung cancer. Relationships between variables and pathways were also explored based on the Double ABC-X as the theoretical framework.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>A cross-sectional survey of 318 lung cancer patients was conducted in a tertiary hospital in Anhui, China. The questionnaires included a general information survey, the Chinese perceived stress scale, the Connor-Davidson Resilience Scale, the social support scale, the cognitive emotion regulation scale, the self-efficacy scale, the medical coping modes questionnaire, and the family resilience scale. Data entry was performed using EpiData3.1 software, while data processing and analysis were conducted with SPSS 26.0. The structural equation modeling was fitted and validated using AMOS 26.0 software.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Family resilience levels were found to be moderately above average. Linear regression analysis indicated payment method, employment status, time since diagnosis, confrontative coping style, Positive Cognitive Emotion Regulation (PCER), perceived stress, social support, and personal resilience as the main influencing factors, which could explain 71.1% of the variation of family resilience in individuals with lung cancer. The final model comprises nine significant pathways. Cognitive emotion regulation, self-efficacy, and social support all have direct positive effects on family resilience (<i>β</i> = 0.202, <i>β</i> = 0.272, <i>β</i> = 0.298). Personal resilience, social support, and self-efficacy significantly positively influence confrontive coping modes (<i>β</i> = 0.293, <i>β</i> = 0.175, <i>β</i> = 0.121). Individual resilience has a significant positive effect on self-efficacy, with a path coefficient of <i>β</i> = 0.377. 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Family Resilience and Its Influencing Factors Among Patients With Lung Cancer Based on Double ABC-X Theoretical Framework
Objective
The aim of this study was to evaluate the family resilience and its psychosocial influencing factors of patients with lung cancer. Relationships between variables and pathways were also explored based on the Double ABC-X as the theoretical framework.
Methods
A cross-sectional survey of 318 lung cancer patients was conducted in a tertiary hospital in Anhui, China. The questionnaires included a general information survey, the Chinese perceived stress scale, the Connor-Davidson Resilience Scale, the social support scale, the cognitive emotion regulation scale, the self-efficacy scale, the medical coping modes questionnaire, and the family resilience scale. Data entry was performed using EpiData3.1 software, while data processing and analysis were conducted with SPSS 26.0. The structural equation modeling was fitted and validated using AMOS 26.0 software.
Results
Family resilience levels were found to be moderately above average. Linear regression analysis indicated payment method, employment status, time since diagnosis, confrontative coping style, Positive Cognitive Emotion Regulation (PCER), perceived stress, social support, and personal resilience as the main influencing factors, which could explain 71.1% of the variation of family resilience in individuals with lung cancer. The final model comprises nine significant pathways. Cognitive emotion regulation, self-efficacy, and social support all have direct positive effects on family resilience (β = 0.202, β = 0.272, β = 0.298). Personal resilience, social support, and self-efficacy significantly positively influence confrontive coping modes (β = 0.293, β = 0.175, β = 0.121). Individual resilience has a significant positive effect on self-efficacy, with a path coefficient of β = 0.377. Submissive coping modes are notably enhanced by perceived stress, as indicated by a path coefficient of β = 0.516, while personal resilience negatively affects submissive coping styles, as indicated by a path coefficient of β = −0.188.
Conclusions
This study highlights the importance of psychosocial factors, such as cognitive emotion regulation, self-efficacy, and social support, in enhancing family resilience in lung cancer patients. Clinically, interventions targeting these factors might significantly improve family functioning and coping mechanisms, contributing to better patient and family outcomes during cancer treatment and care.
期刊介绍：
Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas:
Clinical Cancer Research
Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations
Cancer Biology:
Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery.
Cancer Prevention:
Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach.
Bioinformatics:
Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers.
Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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